Introduction to Data Science
by Jeffrey Stanton
Number of pages: 196
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
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by Mary-Jo Kline, Susan Holbrook Perdue - University of Virginia Press
In addition to exploring the role electronic technology plays in the editing process, this edition provides the most current treatment of the craft's fundamental issues. These include locating and collecting sources, transcribing source texts, etc.
Contents: Diploma ICTL; Advanced Diploma ICTL; Locating Information; Supporting Reader Development; Supporting Client Learning; Using ICT in Professional Practice; Safe and Legal Use of ICT; Net Navigator; Educator; Digital Culture - Online ...
by Michael J. Kurtz, Johan Bollen - arXiv
Scholarly usage data provides unique opportunities to address the known shortcomings of citation analysis. This article provides a review of the state-of-the-art in usage-based informetric, i.e. the use of usage data to study the scholarly process.
by Lawrence O'Gorman, Rangachar Kasturi
This text describes the technical methods used for document processing of text and graphical images. It gives executives and managers information on document processing approaches and describes how these methods apply to different situations.